Lead AI Native Engineer
Salary not listed • Milpitas, CA • Full-time
Posted 4mo ago
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About the job
RoboForce is an AI robotics company developing Physical AI-powered Robo-Labor for dull, dirty, and dangerous work. The company’s robots are engineered for demanding industrial environments, with a focus on real-world deployment and scalability. We are hiring a Lead AI Native Engineer to build RoboForce’s vertical agents and shared agent foundation. This is a hands-on technical leadership role where you will write code, set architecture, and enable agent development.
Responsibilities
- Build end-to-end vertical agents for high-value workflows across research, software, hardware, data, and operations.
- Establish a reusable agent foundation including primitives for models, tools, orchestration, context, memory, retrieval, permissions, human approval, and long-running execution.
- Create a context layer connecting agents to trusted data through APIs, pipelines, MCP servers, and integrations with provenance and access control.
- Own evaluation and reliability by building benchmarks, regression tests, tracing, monitoring, and failure-analysis loops.
- Advance frontier agent usage by evaluating new models, coding agents, SDKs, and patterns, and turning useful capabilities into maintainable systems.
- Support strategic initiatives by helping leadership apply agents and analytical systems to market and customer intelligence, partnerships, fundraising, diligence, scenario analysis, and executive decisions.
- Provide technical leadership by setting architecture and engineering standards, reviewing designs and code, and creating reusable patterns.
Requirements
- 5+ years in software engineering, applied AI, ML systems, or a related field, with strong zero-to-one technical judgment.
- Experience at a frontier AI lab, leading AI company, or comparable team working at the edge of current model capabilities.
- Shipped production agentic systems that real users depend on.
- Deep experience with frontier model APIs, tool use, orchestration, context engineering, retrieval, memory, and multi-step workflows.
- Experience building evaluations, regression tests, observability, and production failure-analysis loops for AI systems.
- Exceptional fluency with AI-native development workflows using Claude Code, Codex, Cursor, agent SDKs, or equivalent systems.
- Strong product judgment to turn ambiguous decisions or workflows into useful, secure, measurable systems.
- Requires 5 days/week in-office collaboration.
Benefits
- Competitive stock options/equity programs.
- Health, dental, and vision insurance.
- 401(k) plan.
- Visa sponsorship and green card support for qualified candidates.
- Lunches and dinners.
- Fully stocked kitchen.
- Regular team-building events.